Matches in SemOpenAlex for { <https://semopenalex.org/work/W2756283809> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2756283809 abstract "The pervasive imbalanced class distribution occurring in real-world stream applications, such as surveillance, security and finance, in which data arrive continuously has sparked extensive interest in the study of imbalanced stream classification. In such applications, the evolution of unstable class concepts is always accompanied and complicated by the skewed class distribution. However, most of the existing methods focus on either class imbalance problem or non-stationary learning problem, the combined approach of addressing both issues has enjoyed relatively little research. In this paper, we propose a hybrid framework for imbalanced stream learning that consists of three components: classifier updating, resampling and cost sensitive classifier. Based on the framework, we propose a hybrid learning algorithm to combine data-level and algorithm-level methods as well as classifier retraining mechanics to tackle class imbalance in data streams. Our experiments using real-world datasets and synthetic datasets show that our proposed hybrid learning algorithm can have better effectiveness and efficiency." @default.
- W2756283809 created "2017-09-25" @default.
- W2756283809 creator A5051468194 @default.
- W2756283809 creator A5054506269 @default.
- W2756283809 date "2017-06-01" @default.
- W2756283809 modified "2023-09-30" @default.
- W2756283809 title "A Hybrid Learning Framework for Imbalanced Stream Classification" @default.
- W2756283809 cites W1577965913 @default.
- W2756283809 cites W1580804604 @default.
- W2756283809 cites W1593041439 @default.
- W2756283809 cites W1990079212 @default.
- W2756283809 cites W1998711561 @default.
- W2756283809 cites W2011376672 @default.
- W2756283809 cites W2038705219 @default.
- W2756283809 cites W2047449506 @default.
- W2756283809 cites W2058732827 @default.
- W2756283809 cites W2068714596 @default.
- W2756283809 cites W2099419573 @default.
- W2756283809 cites W2109964623 @default.
- W2756283809 cites W2118978333 @default.
- W2756283809 cites W2148143831 @default.
- W2756283809 cites W2226725405 @default.
- W2756283809 cites W2294051514 @default.
- W2756283809 cites W2584014069 @default.
- W2756283809 cites W319845675 @default.
- W2756283809 doi "https://doi.org/10.1109/bigdatacongress.2017.70" @default.
- W2756283809 hasPublicationYear "2017" @default.
- W2756283809 type Work @default.
- W2756283809 sameAs 2756283809 @default.
- W2756283809 citedByCount "22" @default.
- W2756283809 countsByYear W27562838092018 @default.
- W2756283809 countsByYear W27562838092019 @default.
- W2756283809 countsByYear W27562838092020 @default.
- W2756283809 countsByYear W27562838092021 @default.
- W2756283809 countsByYear W27562838092022 @default.
- W2756283809 countsByYear W27562838092023 @default.
- W2756283809 crossrefType "proceedings-article" @default.
- W2756283809 hasAuthorship W2756283809A5051468194 @default.
- W2756283809 hasAuthorship W2756283809A5054506269 @default.
- W2756283809 hasConcept C119857082 @default.
- W2756283809 hasConcept C124101348 @default.
- W2756283809 hasConcept C144133560 @default.
- W2756283809 hasConcept C150921843 @default.
- W2756283809 hasConcept C154945302 @default.
- W2756283809 hasConcept C155202549 @default.
- W2756283809 hasConcept C2778484313 @default.
- W2756283809 hasConcept C2778712577 @default.
- W2756283809 hasConcept C41008148 @default.
- W2756283809 hasConcept C60777511 @default.
- W2756283809 hasConcept C76155785 @default.
- W2756283809 hasConcept C89198739 @default.
- W2756283809 hasConcept C95623464 @default.
- W2756283809 hasConceptScore W2756283809C119857082 @default.
- W2756283809 hasConceptScore W2756283809C124101348 @default.
- W2756283809 hasConceptScore W2756283809C144133560 @default.
- W2756283809 hasConceptScore W2756283809C150921843 @default.
- W2756283809 hasConceptScore W2756283809C154945302 @default.
- W2756283809 hasConceptScore W2756283809C155202549 @default.
- W2756283809 hasConceptScore W2756283809C2778484313 @default.
- W2756283809 hasConceptScore W2756283809C2778712577 @default.
- W2756283809 hasConceptScore W2756283809C41008148 @default.
- W2756283809 hasConceptScore W2756283809C60777511 @default.
- W2756283809 hasConceptScore W2756283809C76155785 @default.
- W2756283809 hasConceptScore W2756283809C89198739 @default.
- W2756283809 hasConceptScore W2756283809C95623464 @default.
- W2756283809 hasLocation W27562838091 @default.
- W2756283809 hasOpenAccess W2756283809 @default.
- W2756283809 hasPrimaryLocation W27562838091 @default.
- W2756283809 hasRelatedWork W1660343246 @default.
- W2756283809 hasRelatedWork W2574092225 @default.
- W2756283809 hasRelatedWork W2607131005 @default.
- W2756283809 hasRelatedWork W2613181115 @default.
- W2756283809 hasRelatedWork W2736127210 @default.
- W2756283809 hasRelatedWork W2945271821 @default.
- W2756283809 hasRelatedWork W3108897387 @default.
- W2756283809 hasRelatedWork W3201896624 @default.
- W2756283809 hasRelatedWork W4200217704 @default.
- W2756283809 hasRelatedWork W4226170860 @default.
- W2756283809 isParatext "false" @default.
- W2756283809 isRetracted "false" @default.
- W2756283809 magId "2756283809" @default.
- W2756283809 workType "article" @default.